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The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
Modern AI systems can write code, reason through graduate-level science, and plan multi-step research workflows. But every improvement they undergo still requires humans to decide what to fix, build the resources to fix it, and ju...
BlueSTAR: Tiered Agentic Architecture for Autonomous Cyber Defense
Security analysts are losing the speed war. Average breakout time, from initial access to lateral movement onto a second host, is now 29 minutes, and the fastest observed is 27 seconds. Meanwhile, defenders still rely on human jud...
Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
Diffusion models and flow-matching models generate images by progressively denoising a noisy sample over a series of timesteps. How that time is allocated across the denoising process, the schedule, has a direct impact on sample q...
Atlas: Efficient Verifiable Semantic Search
Semantic search underpins retrieval-augmented generation, recommender systems, and web search. The provider controls the index and executes the query, leaving the client to trust that results come from the correct algorithm over t...
Generative Late-Interaction Embeddings For Visual Document Retrieval
Late-interaction retrieval has become the dominant paradigm for searching visual documents. Models like ColPali embed every image patch on a page as a separate vector and score queries against them using MaxSim, a per-token maximu...
Thinking with Looped Flows
The ability to solve harder problems by spending more time on computation is one of the most fundamental ideas in both human cognition and computer science. Autoregressive language models achieve this by writing out their reasonin...
SpecGuard: Inference-Time Backdoor Detection For Free
Large language models are routinely fine-tuned, shared, and downloaded from third parties. The model you deploy may carry a hidden backdoor that behaves normally on every benign query but switches to attacker-controlled behavior w...
Anthropic CEOs wife once asked Epstein to fund porn venture – now steers Claude
The woman who helps steer Anthropic, the AI company racing toward a potential $2 trillion valuation, spent two years cultivating a relationship with Jeffrey Epstein while pitching him on a "luxury porn" venture. The connection, re...
Mathematicians want proof OpenAI didn't use their work
Andreas Thom, a mathematician whose work on non-sofic groups became one of OpenAI's ten announced breakthroughs, is demanding the company prove it did not use his unpublished research to train its models. His accusation, posted on...
Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes
Most language model training happens in two zones: tiny experiments on a single GPU, or massive runs that cost millions. Hugo Vergnes wanted to explore the space between them. His result is a 3.8B-parameter model trained from scra...